Autonomous AI agents that integrate imaging and EHR data to identify critical patients, provide real-time insights, and serve as clinical co-pilots for care teams.
| Viz Assist incorporates inputs from ambient listening and the EHR to create a generative AI summary of the patient | Download |
SAN FRANCISCO—(BUSINESS WIRE)—Viz.ai, a leader in AI-powered disease detection and intelligent care coordination, today announced the launch of Viz Assist™, a suite of autonomous AI agents designed to transform how care teams identify, prioritize, and respond to critical patient data. This advancement supports Viz.ai’s mission to reduce treatment times and improve patient outcomes.
Viz Assist combines data from ambient listening and electronic health records (EHR) with Viz.ai’s FDA-cleared imaging AI algorithms to generate a comprehensive, AI-driven patient summary. Acting as virtual team members, these AI agents deliver timely clinical insights that enable faster interventions, better care coordination, and improved outcomes. With Viz Assist, hospitals can move beyond manual EHR data mining, static tools, and reactive alerts, benefiting instead from intelligent agents that continuously monitor clinical signals, reduce cognitive load, and help clinicians focus on patient care. The platform also aims to simplify clinical documentation and plans to expand to coding recommendations powered by multimodal data—including imaging, ambient listening, and EHR insights. This leads to more treated patients, reduced administrative burden for physicians, and improved documentation that supports accurate reimbursement and operational efficiency for health systems.
“Viz Assist brings us closer to the future of care we’ve always envisioned—where AI supports clinicians rather than replaces them,” said Andrew M. Ibrahim, MD, MSc, Chief Clinical Officer at Viz.ai. “These agents don’t just detect issues—they anticipate needs, curate key details, and help care teams act faster and with greater confidence. It’s like having a trusted clinical teammate who never rests. I believe this will help restore joy to medicine.”
Viz Assist helps care teams respond more quickly by identifying high-risk patients, extracting essential information from the EHR, highlighting relevant imaging, and delivering prioritized insights to the right clinicians. Built to work across multiple hospitals and EHR systems, these AI agents provide real-time updates to clinical staff wherever they are located. This unified view reduces the need to manually gather data from different platforms, easing cognitive load and enabling faster, more confident decision-making. Operating discreetly in the background, the agents are designed to support—not replace—clinical judgment by offering trusted, guideline-based recommendations.
“Viz Assist is a significant advancement in healthcare,” said Dr. Peter Kan, chair of Neurosurgery at the University of Texas Medical Branch. “It goes beyond sending alerts, seamlessly working behind the scenes to identify critical patients, automate clinical documentation to save time, deliver timely and relevant information, and coordinate care across the team. In many ways, it acts like an additional expert on staff, available around the clock.”
For more information about Viz Assist, watch the demo video and visit viz.ai/viz-assist.
- Baker C, Taussky P, et al. Discuss how an AI application is revolutionizing communication in acute stroke intervention. Journal of Neurosurgery. 2023;139(3):912–920. doi:10.3171/2022.11.JNS221259
- Hassan AE, Ringheanu VM, Preston L, et al. Show that an AI-powered parallel stroke workflow tool improves reperfusion rates and reduces door-to-puncture time. Stroke: Vascular and Interventional Neurology. 2022;2:e000224. doi:10.1161/SVIN.121.000224
- Elijovich L, et al. Demonstrate that automated AI detection of emergent large vessel occlusion enhances stroke workflow in a hub-and-spoke system. Journal of NeuroInterventional Surgery. 2021;13(10):911-916. doi:10.1136/neurintsurg-2021-017714
Overview of Viz.ai
Viz.ai is a leading provider of AI-driven care coordination and clinical workflow solutions, implemented in more than 1,800 hospitals across the U.S. and trusted by many top life sciences companies. Its platform leverages artificial intelligence to enable earlier disease detection, streamline care team collaboration, and accelerate patient access to the right treatments. Viz.ai was the first company to receive CMS reimbursement for AI and was named the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey, setting a benchmark for innovation in healthcare. For more details, visit Viz.ai.
Contacts
Media Contact
Carolyn Jones
carolyn.jones@viz.ai
Daniel Yunger / Daniel Hoadley
daniel.yunger@kekstcnc.com / daniel.hoadley@kekstcnc.com
